* [Scrum et XP depuis les tranchées](http://www.infoq.com/resource/news/2007/06/scrum-xp-book/en/resources/ScrumAndXpFromTheTrenches_French.pdf), par Henrik Kniberg
####Systèmes Informatiques
* [Systèmes Informatiques (C, Unix/Linux,...)](http://sinf1252.info.ucl.ac.be/), par Olivier Bonaventure ([sources](https://github.com/obonaventure/SystemesInformatiques))
####Théorie des langages
* [Compilation. Théorie des langages](http://www.lisyc.univ-brest.fr/pages_perso/leparc/Etud/Master/Compil/Doc/CoursCompilation.pdf) par Université de Bretagne Occidentale
* [Machine Learning, Neural and Statistical Classification](http://www1.maths.leeds.ac.uk/~charles/statlog/whole.pdf) (PDF) or [online version](http://www1.maths.leeds.ac.uk/~charles/statlog/) - This book is based on the EC (ESPRIT) project StatLog.
* [Neural Networks and Deep Learning](http://neuralnetworksanddeeplearning.com)
* [Probabilistic Models in the Study of Language](http://idiom.ucsd.edu/~rlevy/pmsl_textbook/text.html) (Draft, with R code)
* [Programming Computer Vision with Python](http://programmingcomputervision.com/)
* [Reinforcement Learning: An Introduction](http://webdocs.cs.ualberta.ca/~sutton/book/ebook/the-book.html)
* [The Elements of Statistical Learning](http://www-stat.stanford.edu/~tibs/ElemStatLearn/) - Trevor Hastie, Robert Tibshirani, and Jerome Friedman
* [The Python Game Book](http://thepythongamebook.com/en:start)
@ -326,11 +325,9 @@
####Mathematics
* [A First Course in Linear Algebra](http://linear.ups.edu/) - Robert A. Beezer
* [Advanced Data Analysis from an Elementary Point of View](http://www.stat.cmu.edu/~cshalizi/ADAfaEPoV/)
* [Bayesian Methods for Hackers](https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers) - Cameron Davidson-Pilon
* [CK-12 Probability and Statistics - Advanced](http://www.ck12.org/book/Probability-and-Statistics---Advanced-%2528Second-Edition%2529/)
* [Calculus Made Easy](http://www.gutenberg.org/ebooks/33283) (PDF) - Silvanus P. Thompson
* [Category Theory for Computing Science](http://www.math.mcgill.ca/triples/Barr-Wells-ctcs.pdf) (PDF)